One API Key for Multimodal AI Models
See why one API key can simplify access to GPT, Claude, Gemini, image, audio, video, embedding, rerank, and realtime AI models.
See why one API key can simplify access to GPT, Claude, Gemini, image, audio, video, embedding, rerank, and realtime AI models.
Learn how a Claude API gateway can help developers keep Anthropic-style workflows while accessing broader model options through ModAPI.
Use the ModAPI model catalog to compare AI models by provider, modality, endpoint support, and practical use case.
A quick guide to the ModAPI documentation areas developers should use when connecting models, endpoints, API keys, and multimodal workflows.
Use OpenAI-compatible API patterns to connect applications to multiple AI models through ModAPI while keeping integration work smaller.
Understand how an LLM router helps developers switch models, reduce provider lock-in, control cost, and keep AI applications flexible.
Reduce AI API costs with model selection, usage tracking, output controls, caching, and gateway-based cost visibility across multiple …
Learn why developers use one API key to access hundreds of AI models across text, image, video, audio, and embeddings through an …
Understand what an LLM API gateway does, how it compares with direct provider APIs and self-hosted proxies, and why ModAPI focuses on one …
Learn what an OpenAI-compatible API gateway is, why developers use one base URL and one API key for many models, and where ModAPI fits in …
A practical guide to lower-cost LLM APIs, including direct provider APIs, model gateways, OpenAI-compatible endpoints, and when ModAPI can …
AI gateway observability should cover request traces, model behavior, token cost, retries, fallback paths, and audit metadata for production …
Model routing in an LLM gateway is not only about uptime. It also controls cost, quality, fallback behavior, tenant policy, and production …